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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Brain tumour and tissue classification using deep learning
Authors Name:
Ahire Makarand Dattatray
, Danej Rushikesh Laxman , Darunte Priyanka Sanjay , Nanaware Pradnya Dnyaneshwar , Prof. Gade S. A.
Unique Id:
IJSDR2305195
Published In:
Volume 8 Issue 5, May-2023
Abstract:
In this project, we propose a brain tumor segmentation and classification method for multi-modality magnetic resonance image scans. The data from multi-modal brain tu- mor segmentation challenge are utilized which are co-registered and skull stripped, and the histogram matching is performed with a reference volume of high contrast. We are detecting tumor by using preprocessing , segmentation, feature extraction ,optimization and lastly classification after that preprocessed images use to classify the tissue .We per- formed a leave-oneout cross-validation and achieved 88 Dice overlap for the complete tumor region, 75 for the core tumor region and 95 for enhancing tumor region, which is higher than the Dice overlap reported.
Keywords:
MRI,Capsule network
Cite Article:
"Brain tumour and tissue classification using deep learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1222 - 1225, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305195.pdf
Downloads:
000222060
Publication Details:
Published Paper ID: IJSDR2305195
Registration ID:206597
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1222 - 1225
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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